G. Hollander

1.1k citations
30 papers · 954 · h-index 14

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 16
    • Lipoproteins and Cardiovascular Health 9
    • Peroxisome Proliferator-Activated Receptors 8
    • Sphingolipid Metabolism and Signaling 4

G. Hollander

30 papers receiving 908 citations

Peers

G. Hollander
Comparison fields: 5 of 76
  • Biochemistry 322
  • Nutrition and Dietetics 313
  • Biochemistry 86
  • Endocrinology, Diabetes and Metabolism 177
  • Surgery 373
Replace Y. Dabach with:
Y. Dabach Israel
Xian-Mang Pan United States
M. Ben-Naim Israel
Elina Porkkala-Sarataho Finland
H J Kayden United States
Vincent A. Rifici United States
P. Helgerud Norway
Sampath Parthasarathy United States
T. Kita Japan
Scott Kerns United States
G. Hollander relative to Y. Dabach Israel Y. Dabach's profile →
Citations per field
00.5×1.5×
Y. Dabach · 1×
Citations per year

Countries citing papers authored by G. Hollander

Since Specialization
Citations

This map shows the geographic impact of G. Hollander's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G. Hollander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Hollander more than expected).

Fields of papers citing papers by G. Hollander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Hollander. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G. Hollander. The network helps show where G. Hollander may publish in the future.

Co-authors

The 25 scholars most cited alongside G. Hollander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Hollander Line = papers co-authored together G. Hollander links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990173
2 1989163
3 1983160
4 1991124
5 199062
6 199228
7 199721
8 198420
9 199916
10 199515
11 199615
12 199715
13 199315
14 199714
15 199812
16 200212
17 198912
18 200010
19 19929
20 19928

About G. Hollander

G. Hollander is a scholar working on Surgery, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 30 papers that have together received 954 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (16 papers), Lipoproteins and Cardiovascular Health (9 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipid metabolism and biosynthesis (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Sphingolipid Metabolism and Signaling (4 papers). The work is most often cited by research in Biochemistry (322 citations), Nutrition and Dietetics (313 citations), Biochemistry (86 citations), Endocrinology, Diabetes and Metabolism (177 citations) and Surgery (373 citations). G. Hollander has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Y. Dabach, Y. Stein, Oliver Stein, M. Ben-Naim, Dror Harats, G. Halperin, E Havivi, Ruth Schwartz, Elliot M. Berry and Yechezkiel Stein. Their work appears in journals such as Atherosclerosis, Arteriosclerosis Thrombosis and Vascular Biology, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and PubMed.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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